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Lewin TD, Liao IJY, Luo YJ. Annelid Comparative Genomics and the Evolution of Massive Lineage-Specific Genome Rearrangement in Bilaterians. Mol Biol Evol 2024; 41:msae172. [PMID: 39141777 PMCID: PMC11371463 DOI: 10.1093/molbev/msae172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 08/05/2024] [Accepted: 08/08/2024] [Indexed: 08/16/2024] Open
Abstract
The organization of genomes into chromosomes is critical for processes such as genetic recombination, environmental adaptation, and speciation. All animals with bilateral symmetry inherited a genome structure from their last common ancestor that has been highly conserved in some taxa but seemingly unconstrained in others. However, the evolutionary forces driving these differences and the processes by which they emerge have remained largely uncharacterized. Here, we analyze genome organization across the phylum Annelida using 23 chromosome-level annelid genomes. We find that while many annelid lineages have maintained the conserved bilaterian genome structure, the Clitellata, a group containing leeches and earthworms, possesses completely scrambled genomes. We develop a rearrangement index to quantify the extent of genome structure evolution and show that, compared to the last common ancestor of bilaterians, leeches and earthworms have among the most highly rearranged genomes of any currently sampled species. We further show that bilaterian genomes can be classified into two distinct categories-high and low rearrangement-largely influenced by the presence or absence, respectively, of chromosome fission events. Our findings demonstrate that animal genome structure can be highly variable within a phylum and reveal that genome rearrangement can occur both in a gradual, stepwise fashion, or rapid, all-encompassing changes over short evolutionary timescales.
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Affiliation(s)
- Thomas D Lewin
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | | | - Yi-Jyun Luo
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
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Zhang W, Suo J, Yan Y, Yang R, Lu Y, Jin Y, Gao S, Li S, Gao J, Zhang M, Dai Q. iSMOD: an integrative browser for image-based single-cell multi-omics data. Nucleic Acids Res 2023; 51:8348-8366. [PMID: 37439331 PMCID: PMC10484677 DOI: 10.1093/nar/gkad580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 06/09/2023] [Accepted: 06/26/2023] [Indexed: 07/14/2023] Open
Abstract
Genomic and transcriptomic image data, represented by DNA and RNA fluorescence in situ hybridization (FISH), respectively, together with proteomic data, particularly that related to nuclear proteins, can help elucidate gene regulation in relation to the spatial positions of chromatins, messenger RNAs, and key proteins. However, methods for image-based multi-omics data collection and analysis are lacking. To this end, we aimed to develop the first integrative browser called iSMOD (image-based Single-cell Multi-omics Database) to collect and browse comprehensive FISH and nucleus proteomics data based on the title, abstract, and related experimental figures, which integrates multi-omics studies focusing on the key players in the cell nucleus from 20 000+ (still growing) published papers. We have also provided several exemplar demonstrations to show iSMOD's wide applications-profiling multi-omics research to reveal the molecular target for diseases; exploring the working mechanism behind biological phenomena using multi-omics interactions, and integrating the 3D multi-omics data in a virtual cell nucleus. iSMOD is a cornerstone for delineating a global view of relevant research to enable the integration of scattered data and thus provides new insights regarding the missing components of molecular pathway mechanisms and facilitates improved and efficient scientific research.
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Affiliation(s)
- Weihang Zhang
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Jinli Suo
- Department of Automation, Tsinghua University, Beijing 100084, China
- Institute of Brain and Cognitive Sciences, Tsinghua University, Beijing 100084, China
- Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China
| | - Yan Yan
- MOE Key Laboratory of Bioinformatics; Bioinformatics Division, BNRist; Center for Synthetic & Systems Biology, Tsinghua University, Beijing 100084, China
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Runzhao Yang
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Yiming Lu
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Yiqi Jin
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Shuochen Gao
- Department of Automation, Tsinghua University, Beijing 100084, China
| | - Shao Li
- Department of Automation, Tsinghua University, Beijing 100084, China
- MOE Key Laboratory of Bioinformatics; Bioinformatics Division, BNRist; Center for Synthetic & Systems Biology, Tsinghua University, Beijing 100084, China
| | - Juntao Gao
- MOE Key Laboratory of Bioinformatics; Bioinformatics Division, BNRist; Center for Synthetic & Systems Biology, Tsinghua University, Beijing 100084, China
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Michael Zhang
- MOE Key Laboratory of Bioinformatics; Bioinformatics Division, BNRist; Center for Synthetic & Systems Biology, Tsinghua University, Beijing 100084, China
- School of Medicine, Tsinghua University, Beijing 100084, China
| | - Qionghai Dai
- Department of Automation, Tsinghua University, Beijing 100084, China
- Institute of Brain and Cognitive Sciences, Tsinghua University, Beijing 100084, China
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Lazar-Stefanita L, Luo J, Montagne R, Thierry A, Sun X, Mercy G, Mozziconacci J, Koszul R, Boeke JD. Karyotype engineering reveals spatio-temporal control of replication firing and gene contacts. CELL GENOMICS 2022; 2:None. [PMID: 35983101 PMCID: PMC9365758 DOI: 10.1016/j.xgen.2022.100163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 03/30/2022] [Accepted: 07/06/2022] [Indexed: 10/27/2022]
Abstract
Eukaryotic genomes vary in terms of size, chromosome number, and genetic complexity. Their temporal organization is complex, reflecting coordination between DNA folding and function. Here, we used fused karyotypes of budding yeast to characterize the effects of chromosome length on nuclear architecture. We found that size-matched megachromosomes expand to occupy a larger fraction of the enlarged nucleus. Hi-C maps reveal changes in the three-dimensional structure corresponding to inactivated centromeres and telomeres. De-clustering of inactive centromeres results in their loss of early replication, highlighting a functional correlation between genome organization and replication timing. Repositioning of former telomere-proximal regions on chromosome arms exposed a subset of contacts between flocculin genes. Chromatin reorganization of megachromosomes during cell division remained unperturbed, and it revealed that centromere-rDNA contacts in anaphase, extending over 0.3 Mb on wild-type chromosome, cannot exceed ∼1.7 Mb. Our results highlight the relevance of engineered karyotypes to unveiling relationships between genome organization and function.
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Mohanta TK, Mishra AK, Al-Harrasi A. The 3D Genome: From Structure to Function. Int J Mol Sci 2021; 22:11585. [PMID: 34769016 PMCID: PMC8584255 DOI: 10.3390/ijms222111585] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 10/18/2021] [Accepted: 10/20/2021] [Indexed: 01/09/2023] Open
Abstract
The genome is the most functional part of a cell, and genomic contents are organized in a compact three-dimensional (3D) structure. The genome contains millions of nucleotide bases organized in its proper frame. Rapid development in genome sequencing and advanced microscopy techniques have enabled us to understand the 3D spatial organization of the genome. Chromosome capture methods using a ligation approach and the visualization tool of a 3D genome browser have facilitated detailed exploration of the genome. Topologically associated domains (TADs), lamin-associated domains, CCCTC-binding factor domains, cohesin, and chromatin structures are the prominent identified components that encode the 3D structure of the genome. Although TADs are the major contributors to 3D genome organization, they are absent in Arabidopsis. However, a few research groups have reported the presence of TAD-like structures in the plant kingdom.
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Affiliation(s)
- Tapan Kumar Mohanta
- Natural and Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman
| | - Awdhesh Kumar Mishra
- Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Gyeongsangbuk-do, Korea; or
| | - Ahmed Al-Harrasi
- Natural and Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman
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Di Stefano M, Nützmann HW, Marti-Renom M, Jost D. Polymer modelling unveils the roles of heterochromatin and nucleolar organizing regions in shaping 3D genome organization in Arabidopsis thaliana. Nucleic Acids Res 2021; 49:1840-1858. [PMID: 33444439 PMCID: PMC7913674 DOI: 10.1093/nar/gkaa1275] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 11/16/2020] [Accepted: 01/13/2021] [Indexed: 01/10/2023] Open
Abstract
The 3D genome is characterized by a complex organization made of genomic and epigenomic layers with profound implications on gene regulation and cell function. However, the understanding of the fundamental mechanisms driving the crosstalk between nuclear architecture and (epi)genomic information is still lacking. The plant Arabidopsis thaliana is a powerful model organism to address these questions owing to its compact genome for which we have a rich collection of microscopy, chromosome conformation capture (Hi-C) and ChIP-seq experiments. Using polymer modelling, we investigate the roles of nucleolus formation and epigenomics-driven interactions in shaping the 3D genome of A. thaliana. By validation of several predictions with published data, we demonstrate that self-attracting nucleolar organizing regions and repulsive constitutive heterochromatin are major mechanisms to regulate the organization of chromosomes. Simulations also suggest that interphase chromosomes maintain a partial structural memory of the V-shapes, typical of (sub)metacentric chromosomes in anaphase. Additionally, self-attraction between facultative heterochromatin regions facilitates the formation of Polycomb bodies hosting H3K27me3-enriched gene-clusters. Since nucleolus and heterochromatin are highly-conserved in eukaryotic cells, our findings pave the way for a comprehensive characterization of the generic principles that are likely to shape and regulate the 3D genome in many species.
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Affiliation(s)
- Marco Di Stefano
- CNAG-CRG, The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Hans-Wilhelm Nützmann
- The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, UK
| | - Marc A Marti-Renom
- CNAG-CRG, The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CRG, The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- ICREA, Barcelona, Spain
| | - Daniel Jost
- Université de Lyon, ENS de Lyon, Univ Claude Bernard, CNRS, Laboratoire de Biologie et Modélisation de la Cellule, Lyon, France
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Editorial overview: Diving into the Genome. Curr Opin Genet Dev 2020; 61:iii-vi. [PMID: 32950132 DOI: 10.1016/j.gde.2020.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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7
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Balamurali D, Gorohovski A, Detroja R, Palande V, Raviv-Shay D, Frenkel-Morgenstern M. ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps. Nucleic Acids Res 2020; 48:D825-D834. [PMID: 31747015 PMCID: PMC7145514 DOI: 10.1093/nar/gkz1025] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 10/18/2019] [Accepted: 10/26/2019] [Indexed: 12/11/2022] Open
Abstract
Chimeric RNA transcripts are formed when exons from two genes fuse together, often due to chromosomal translocations, transcriptional errors or trans-splicing effect. While these chimeric RNAs produce functional proteins only in certain cases, they play a significant role in disease phenotyping and progression. ChiTaRS 5.0 (http://chitars.md.biu.ac.il/) is the latest and most comprehensive chimeric transcript repository, with 111 582 annotated entries from eight species, including 23 167 known human cancer breakpoints. The database includes unique information correlating chimeric breakpoints with 3D chromatin contact maps, generated from public datasets of chromosome conformation capture techniques (Hi-C). In this update, we have added curated information on druggable fusion targets matched with chimeric breakpoints, which are applicable to precision medicine in cancers. The introduction of a new section that lists chimeric RNAs in various cell-lines is another salient feature. Finally, using text-mining techniques, novel chimeras in Alzheimer's disease, schizophrenia, dyslexia and other diseases were collected in ChiTaRS. Thus, this improved version is an extensive catalogue of chimeras from multiple species. It extends our understanding of the evolution of chimeric transcripts in eukaryotes and contributes to the analysis of 3D genome conformational changes and the functional role of chimeras in the etiopathogenesis of cancers and other complex diseases.
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Affiliation(s)
- Deepak Balamurali
- Laboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel
| | - Alessandro Gorohovski
- Laboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel
| | - Rajesh Detroja
- Laboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel
| | - Vikrant Palande
- Laboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel
| | - Dorith Raviv-Shay
- Laboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel
| | - Milana Frenkel-Morgenstern
- Laboratory of Cancer Genomics and Biocomputing of Complex Diseases, The Azrieli Faculty of Medicine, Bar-Ilan University, Safed 1311502, Israel
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